| --- |
| tags: |
| - CartPole-v1 |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - custom-implementation |
| --- |
| |
| # (CleanRL) **PPO** Agent Playing **CartPole-v1** |
|
|
| This is a trained model of a PPO agent playing CartPole-v1. |
| The model was trained by using [CleanRL](https://github.com/vwxyzjn/cleanrl) and the training code can be |
| found [here](https://github.com/vwxyzjn/cleanrl/blob/master/cleanrl/ppo.py). |
|
|
|
|
| # Hyperparameters |
| ```python |
| {'anneal_lr': True, |
| 'batch_size': 512, |
| 'capture_video': True, |
| 'clip_coef': 0.2, |
| 'clip_vloss': True, |
| 'cuda': False, |
| 'ent_coef': 0.01, |
| 'env_id': 'CartPole-v1', |
| 'exp_name': 'ppo', |
| 'gae_lambda': 0.95, |
| 'gamma': 0.99, |
| 'hf_repo_id': 'cleanrl/ppo', |
| 'learning_rate': 0.00025, |
| 'max_grad_norm': 0.5, |
| 'minibatch_size': 128, |
| 'norm_adv': True, |
| 'num_envs': 4, |
| 'num_minibatches': 4, |
| 'num_steps': 128, |
| 'save_model': True, |
| 'seed': 1, |
| 'target_kl': None, |
| 'torch_deterministic': True, |
| 'total_timesteps': 500000, |
| 'track': False, |
| 'update_epochs': 4, |
| 'vf_coef': 0.5, |
| 'wandb_entity': None, |
| 'wandb_project_name': 'cleanRL'} |
| ``` |
| |
